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Question 1:

Refer to the ROC curve:

As you move along the curve, what changes?

A. The priors in the population

B. The true negative rate in the population

C. The proportion of events in the training data

D. The probability cutoff for scoring

Correct Answer: D

Question 2:

When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?

A. The sample means from the validation data set are applied to the training and test data sets.

B. The sample means from the training data set are applied to the validation and test data sets.

C. The sample means from the test data set are applied to the training and validation data sets.

D. The sample means from each partition of the data are applied to their own partition.

Correct Answer: B

Question 3:

In partitioning data for model assessment, which sampling methods are acceptable? (Choose two.)

A. Simple random sampling without replacement

B. Simple random sampling with replacement

C. Stratified random sampling without replacement

D. Sequential random sampling with replacement

Correct Answer: AC

Question 4:

Assume a $10 cost for soliciting a non-responder and a $200 profit for soliciting a responder. The logistic regression model gives a probability score named P_R on a SAS data set called VALID. The VALID data set contains the responder variable Pinch, a 1/0 variable coded as 1 for responder. Customers will be solicited when their probability score is more than 0.05.

Which SAS program computes the profit for each customer in the data set VALID?

A. Option A

B. Option B

C. Option C

D. Option D

Correct Answer: A

Question 5:

In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?

A. Training: 50% Validation: 0% Testing: 50%

B. Training: 100% Validation: 0% Testing: 0%

C. Training: 0% Validation: 100% Testing: 0%

D. Training: 50% Validation: 50% Testing: 0%

Correct Answer: D

Latest A00-240 DumpsA00-240 VCE DumpsA00-240 Braindumps

Question 6:

A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling?

A. Sensitivity and PV

B. Specificity and PV

C. PV and PV

D. Sensitivity and Specificity

Correct Answer: D

Question 7:

An analyst has a sufficient volume of data to perform a 3-way partition of the data into training, validation, and test sets to perform honest assessment during the model building process.

What is the purpose of the test data set?

A. To provide a unbiased measure of assessment for the final model.

B. To compare models and select and fine-tune the final model.

C. To reduce total sample size to make computations more efficient.

D. To build the predictive models.

Correct Answer: A

Question 8:

Refer to the confusion matrix:

Calculate the sensitivity. (0 – negative outcome, 1 – positive outcome)

Click the calculator button to display a calculator if needed.

A. 25/48

B. 58/102

C. 25/B9

D. 58/81

Correct Answer: A

Question 9:

The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment?

A. Training data

B. Total data

C. Test data

D. Validation data

Correct Answer: D

Question 10:

Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company\’s pre-assigned market segments and tested for difference in the customers\’ average intent to purchase. The following is the output from the GLM procedure:

What percentage of customers\’ intent to purchase is explained by market segment? Click the calculator button to display a calculator if needed.

A. <0.01%

B. 35%

C. 65%

D. 76%

Correct Answer: D

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